Filters: partyWithName: Esther D Stroh (X)
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These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance....
These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance....
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Climate Change,
Drought, Fire and Extreme Weather,
Environmental Suitability Models,
Fire,
LANDFIRE,
Abstract (from Springer): Globally, changing fire regimes due to climate is one of the greatest threats to ecosystems and society. In this paper, we present projections of future fire probability for the southcentral USA using downscaled climate projections and the Physical Chemistry Fire Frequency Model (PC2FM). Future fire probability is projected to both increase and decrease across the study region of Oklahoma, New Mexico, and Texas. Among all end-of-century projections, change in fire probabilities (CFPs) range from − 51 to + 240%. Greatest absolute increases in fire probability are shown for areas within the range of approximately 75 to 160 cm mean annual precipitation (MAP), regardless of climate model. Although...
Categories: Publication;
Types: Citation;
Tags: Drought, Fire and Extreme Weather,
Fire,
Plants,
South Central CASC,
Wildlife and Plants
Isolated patches of native vegetation in human-modified landscapes are important reservoirs of biological diversity because they may be the only places in which rare or native species can persist. Manassas National Battlefield Park, Virginia, is an island embedded in a matrix of intensively modified lands; it is becoming increasingly isolated due to growth of the greater Washington, D.C. area. A series of cliffs along Bull Run support an eastern white pine community disjunct from its more typical range in the Appalachian Mountains. Cliffs frequently support vegetation communities that differ from surrounding habitat. In this ecological context, the cliffs along Bull Run are islands of specialized habitat within...
Types: Citation;
Tags: Manassas,
Manassas National Battlefield Park,
United States of America,
Virginia,
biota,
These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance....
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Climate Change,
Drought, Fire and Extreme Weather,
Environmental Suitability Models,
Fire,
LANDFIRE,
These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance....
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Climate Change,
Drought, Fire and Extreme Weather,
Environmental Suitability Models,
Fire,
LANDFIRE,
Three .csv files contain occurrence points (longitude and latitude) for three woody vegetation communities found in Texas, Oklahoma and New Mexico. Points were extracted from publicly available LANDFIRE Environmental Site Potential 30 m raster downgraded to 1 km using a majority classification algorithm. The three communities are an oak type (dominated by Quercus stellata and Q. marilandica), a mesquite type (dominated by Prosopis glandulosa and P. velutina), and a pinyon-juniper type (dominated by Pinus edulis and Juniperus osteosperma). The 21 rasters contain environmental suitability scores for each of the three communities, generated with MAXENT freeware using historic and projected climate and fire probability...
This supplementary table contains raw and relative (normalized) data for metrics measuring exposure (yellow columns), sensitivity (green columns), constraints on adaptive capacity (blue columns), and vulnerability for units in the US National Park Service Midwest administrative region. Stippled columns contain relative (normalized) data used to calculate the corresponding component. Vulnerability (two climate scenarios) was calculated as the mean of the three components. Metrics marked with an asterisk (*) were not calculated for parks with footprints greater than 90% developed.
Categories: Data;
Types: Citation;
Tags: Climate Change,
Land Use,
National Park Service Midwest Administrative Region,
National Parks,
Vulnerability Analysis
These point data (lat long coordinates) represent pixel centers for three woody ecosystem types found in Texas, Oklahoma and New Mexico. Points were extracted from the publicly available LANDFIRE Fire Environmental Site Potential (ESP) raster that we downgraded from 30 m to 1 km pixels. The three data sets include: Oak ESP occurrence points.csv; Mesquite ESP occurrence points; and Pinyon-juniper ESP occurrence points
Categories: Data;
Tags: Climate Change,
Environmental Site Potential,
Environmental Suitability Models,
LANDFIRE,
MAXENT,
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